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Bootstrap Motion Forecasting With Self-Consistent Constraints

Bootstrap Motion Forecasting With Self-Consistent Constraints

12 April 2022
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
ArXivPDFHTML

Papers citing "Bootstrap Motion Forecasting With Self-Consistent Constraints"

20 / 20 papers shown
Title
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven L. Waslander
Hongsheng Li
Yu Liu
29
2
0
11 Oct 2024
Towards Practical Human Motion Prediction with LiDAR Point Clouds
Towards Practical Human Motion Prediction with LiDAR Point Clouds
Xiao Han
Yiming Ren
Yichen Yao
Yujing Sun
Yuexin Ma
3DH
27
1
0
15 Aug 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field
  Prediction with Future Context Encoding
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding
Mingkun Wang
Xiaoguang Ren
Ruochun Jin
Minglong Li
Xiaochuan Zhang
Changqian Yu
Mingxu Wang
Wenjing Yang
35
1
0
20 Jun 2024
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware
  Trajectory Conditioning
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
Jaewoo Jeong
Daehee Park
Kuk-Jin Yoon
28
6
0
08 Apr 2024
Self-Supervised Class-Agnostic Motion Prediction with Spatial and
  Temporal Consistency Regularizations
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
Kewei Wang
Yizheng Wu
Jun Cen
Zhiyu Pan
Xingyi Li
Zhe Wang
Zhiguo Cao
Guo-Shing Lin
3DPC
23
3
0
20 Mar 2024
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient
  Motion Prediction
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven L. Waslander
Hongsheng Li
Yu Liu
33
13
0
18 Mar 2024
Learning Online Belief Prediction for Efficient POMDP Planning in
  Autonomous Driving
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
Zhiyu Huang
Chen Tang
Chen Lv
Masayoshi Tomizuka
Wei Zhan
19
5
0
27 Jan 2024
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise
  Prediction
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction
Pranav Singh Chib
Pravendra Singh
19
1
0
26 Nov 2023
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by
  Dropping Waypoints
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints
Pranav Singh Chib
Pravendra Singh
17
1
0
29 Sep 2023
SEPT: Towards Efficient Scene Representation Learning for Motion
  Prediction
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan
Yuxuan Jiang
Yao Mu
C. L. P. Chen
Keqiang Li
14
25
0
26 Sep 2023
What Truly Matters in Trajectory Prediction for Autonomous Driving?
What Truly Matters in Trajectory Prediction for Autonomous Driving?
T. Phong
Haoran Wu
Cunjun Yu
Panpan Cai
Sifa Zheng
David Hsu
14
16
0
27 Jun 2023
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction
  via Self-Supervision
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
Faris Janjos
Max Keller
Maxim Dolgov
J. Marius Zöllner
8
7
0
06 Jun 2023
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized
  Representation for Multi-Agent Motion Prediction
TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction
Yunong Wu
Thomas Gilles
B. Stanciulescu
Fabien Moutarde
18
2
0
14 May 2023
ProphNet: Efficient Agent-Centric Motion Forecasting with
  Anchor-Informed Proposals
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
Xishun Wang
Tong Su
Fang Da
Xiaodong Yang
18
53
0
21 Mar 2023
Dynamic Scenario Representation Learning for Motion Forecasting with
  Heterogeneous Graph Convolutional Recurrent Networks
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
19
32
0
08 Mar 2023
Improving Motion Forecasting for Autonomous Driving with the Cycle
  Consistency Loss
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss
Titas Chakraborty
A. Bhagat
Henggang Cui
8
2
0
31 Oct 2022
GANet: Goal Area Network for Motion Forecasting
GANet: Goal Area Network for Motion Forecasting
Mingkun Wang
Xinge Zhu
Changqian Yu
W. Li
Yuexin Ma
Ruochun Jin
Xiaoguang Ren
Dongchun Ren
Mingxu Wang
Wenjing Yang
14
61
0
20 Sep 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
34
54
0
28 Jun 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
126
528
0
20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
362
0
20 Jan 2021
1